Statistical Advances in the Biomedical Sciences
Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical ResearchWith the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand comp…
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Produktdetails
Weitere Autoren: Datta, Sujay / Fine, Jason P. / Segal, Mark R.
- ISBN: 978-0-471-94753-0
- EAN: 9780471947530
- Produktnummer: 2975024
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2008
- Seitenangabe: 616 S.
- Masse: H23.8 cm x B16.4 cm x D3.5 cm 991 g
- Gewicht: 991
Über den Autor
Atanu Biswas, PhD, is Assistant Professor in the Applied Statistics Unit at the Indian Statistical Institute, Kolkata in India. Dr. Biswas has authored more than eighty published articles and also serves as Associate Editor of several journals, including Sequential Analysis and Communications in Statistics. He is the recipient of the M.N. Murthy Award for his research in applied statistics. Sujay Datta, PhD, is Associate Professor in the Department of Mathematics and Computer Science at Northern Michigan University and Visiting Research Scientist in the Department of Statistics at TexasA&M University, where he is part of a bioinformatics research program sponsored by the National Institutes of Health. Dr. Datta's research interests include high-throughput data, genomics, and models based on graphs/networks. Jason P. Fine, PhD, is Associate Professor in the Department of Statistics at the University of Wisconsin-Madison and also serves as Associate Editor of several journals, including Biometrics, Biostatistics, and the Scandinavian Journal of Statistics. Mark R. Segal, PhD, is Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco. A Fellow of the American Statistical Association, Dr. Segal has published extensively and currently focuses his research in the area of bioinformatics.
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